Content-aware Stitching

Content-Aware Stitching is an image stitching method that belongs to the class of geometric alignment techniques and distinguishes itself by incorporating semantic and structural information from image content to guide the blending and warping processes, thereby minimizing visible seams and distortions in the composite output.

8

Publications

623

Citations

25

Authors

10

Institutions

Publications per year

2017–2026

3

Authors

25

  1. SK
    Sung-Jea Ko

    Korea University, South Korea

    2 publications · 40 citations

    2

    h-index

  2. ZZ
    Zhengyou Zhang

    Microsoft (United States), United States

    1 publications · 27 citations

    1

    h-index

  3. BK
    Bo-Sang Kim

    Korea University, South Korea

    1 publications · 20 citations

    1

    h-index

  4. KC
    Kang-A Choi

    Korea University, South Korea

    1 publications · 20 citations

    1

    h-index

  5. SJ
    Seung‐Won Jung

    Korea University, South Korea

    1 publications · 20 citations

    1

    h-index

1–5 of 25

Venues

  1. IEEE Transactions on Consumer Electronics

    2 publications · 40 citations

    2

    h-index

  2. ACM Transactions on Graphics

    TOG · 1 publications · 99 citations

    1

    h-index

  3. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 55 citations

    1

    h-index

  4. Neural Networks

    1 publications · 12 citations

1–4